Impact of Tobacco Smoke on Pediatric Kidney Function: Evidence from Urine Cotinine Levels

Background: Tobacco smoking is a well-established risk factor for the development of chronic kidney disease (CKD) in adults. Additionally, exposure to tobacco smoke impacts pediatric kidney function and the progression of CKD. Urine cotinine (uCot), a metabolite of nicotine, serves as a biomarker for tobacco smoke exposure and is a more reliable indicator of CKD risk compared to self-reported smoking. This study evaluated the association between uCot levels and pediatric kidney function. Methods: Data were extracted from the Korea National Health and Nutrition Examination Survey (KNHANES) conducted between 2019 and 2021. A total of 195 children aged 10–18 years were included in the analysis. The estimated glomerular filtration rate (eGFR) was calculated using the bedside Schwartz equation. Demographic and clinical characteristics of the study population were reported as weighted values. Weighted regression analysis was used to analyze the association between uCot levels and kidney function. Results: Of the 195 children, 68.2% were male, with a mean age of 15.3±0.2 years. The mean eGFR was 99.4±1.8 ml/min/1.73m2, and the mean urine albumin-to-creatinine ratio (uACR) was 7.1±0.5 mg/g. The mean uCot level was 327.0±50.5 ng/mL, and the mean uCot-to-creatinine ratio (uCCR) was 173.2±27.1 ng/mg. Among the children, 28.6% were exposed to secondhand smoke from parents, and 37.6% were smokers. Smoking was positively associated with uCot levels (p<0.0001) and uCCR (p<0.0001). However, parental secondhand smoke exposure did not show a significant association with uCot levels or uCCR. Both uCot levels (R2=0.07, regression coefficient estimate=-0.009, p<0.0001) and uCCR (R2=0.04, regression coefficient estimate=-0.01, p=0.0123) were negatively associated with eGFR. While smoking showed a significant negative association with eGFR (R2=0.02, regression coefficient estimate=-9.5, p<0.001), parental secondhand smoke exposure did not exhibit a clinically significant association with eGFR. Neither uCot nor uCCR showed significant associations with uACR. Conclusion: In conclusion, tobacco smoking negatively impacts kidney function in the pediatric population and can be monitored using uCot levels or uCCR. In this study, parental secondhand smoke exposure did not affect the kidney function of healthy children. Therefore, uCot levels in children could help identify those at high risk for developing CKD.

Authors

Institutions

Publication Details

Journal
Journal of the American Society of Nephrology
Published
2024-10-01
DOI
https://doi.org/10.1681/asn.2024tm9j7j2t
Primary Topic
Birth, Development, and Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of Tobacco Smoke on Pediatric Kidney Function: Evidence from Urine Cotinine Levels

Jeong Yeon Kim
1 links
Journal of the American Society of Nephrology
Birth, Development, and Health
article

Impact of Tobacco Smoke on Pediatric Kidney Function: Evidence from Urine Cotinine Levels

Jeong Yeon Kim
article en

Abstract

Background: Tobacco smoking is a well-established risk factor for the development of chronic kidney disease (CKD) in adults. Additionally, exposure to tobacco smoke impacts pediatric kidney function and the progression of CKD. Urine cotinine (uCot), a metabolite of nicotine, serves as a biomarker for tobacco smoke exposure and is a more reliable indicator of CKD risk compared to self-reported smoking. This study evaluated the association between uCot levels and pediatric kidney function. Methods: Data were extracted from the Korea National Health and Nutrition Examination Survey (KNHANES) conducted between 2019 and 2021. A total of 195 children aged 10–18 years were included in the analysis. The estimated glomerular filtration rate (eGFR) was calculated using the bedside Schwartz equation. Demographic and clinical characteristics of the study population were reported as weighted values. Weighted regression analysis was used to analyze the association between uCot levels and kidney function. Results: Of the 195 children, 68.2% were male, with a mean age of 15.3±0.2 years. The mean eGFR was 99.4±1.8 ml/min/1.73m2, and the mean urine albumin-to-creatinine ratio (uACR) was 7.1±0.5 mg/g. The mean uCot level was 327.0±50.5 ng/mL, and the mean uCot-to-creatinine ratio (uCCR) was 173.2±27.1 ng/mg. Among the children, 28.6% were exposed to secondhand smoke from parents, and 37.6% were smokers. Smoking was positively associated with uCot levels (p<0.0001) and uCCR (p<0.0001). However, parental secondhand smoke exposure did not show a significant association with uCot levels or uCCR. Both uCot levels (R2=0.07, regression coefficient estimate=-0.009, p<0.0001) and uCCR (R2=0.04, regression coefficient estimate=-0.01, p=0.0123) were negatively associated with eGFR. While smoking showed a significant negative association with eGFR (R2=0.02, regression coefficient estimate=-9.5, p<0.001), parental secondhand smoke exposure did not exhibit a clinically significant association with eGFR. Neither uCot nor uCCR showed significant associations with uACR. Conclusion: In conclusion, tobacco smoking negatively impacts kidney function in the pediatric population and can be monitored using uCot levels or uCCR. In this study, parental secondhand smoke exposure did not affect the kidney function of healthy children. Therefore, uCot levels in children could help identify those at high risk for developing CKD.

Journal of the American Society of NephrologyVol. 35(10S)
Chungnam National University (KR)
Good health and well-being
Openalex Percentile: Top 70%
Birth, Development, and Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.